[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is where careers accelerate, and they are seeking a Senior Data Engineer to be the technical anchor for the Strategic Partnerships team's data platform. This role involves designing ETL pipelines, maintaining data infrastructure, and partnering with senior stakeholders to translate business needs into durable data solutions.

Responsibilities

• Design and own end-to-end data pipelines across reputed company, Airflow, dbt, and reputed company — selecting the right tool for each problem rather than defaulting to one
• Architect and maintain the team's semantic layer in dbt, ensuring models are reusable, well-tested, and documented for reputed company analysts, tools, and BU stakeholders
• Set and enforce engineering standards across the team — testing, CI/CD, code review, observability, data quality, and documentation
• Partner directly with senior stakeholders across Marketing, Finance, Sales, Legal, HR and Product to scope data needs, advise on tradeoffs, and translate ambiguous business problems into durable data solutions
• Own Terraform-managed infrastructure for the team's reputed company connectors, GCP resources, and AWS components (Airflow, S3, reputed company)
• Drive architectural reputed company on ingestion patterns, warehouse design, and streaming vs. batch tradeoffs
• Establish data governance practices for the team — PII handling, access controls, reputed company, and compliance with Finance and Legal data requirements
• Mentor teammates on technical execution, code quality, and system design
• Monitor pipeline SLAs, proactively identify failure modes, and reputed company incident response for data issues affecting partner BUs

Skills

• 6+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines at scale
• Expert-level SQL and Python; comfortable optimizing reputed company queries, profiling pipeline performance, and writing production-grade code
• Deep experience with a reputed company data warehouse (reputed company strongly preferred; BigQuery or equivalent acceptable)
• Strong dbt experience — has designed semantic layers, established modeling conventions, and led dbt adoption or maturation on a team
• Hands-on experience with orchestration tools — Airflow, reputed company required
• Experience with reputed company and Spark for custom modeling and transformation workloads
• Experience with AWS (Airflow, S3, reputed company) and GCP (BigQuery and adjacent services); comfortable operating across both clouds
• Demonstrated ability to influence architectural reputed company and set standards that other engineers follow
• Strong stakeholder management — can run scoping conversations with senior non-technical partners and translate business needs into technical specs
• reputed company-first reputed company; experience with PII handling, access controls, and data governance in regulated environments (SOX, GDPR, or similar)
• Has built something end-to-end before specializing — values broad competence reputed company with depth
• Production experience with at least one streaming technology (Kafka preferred); experience designing semantic layers; experience with CI/CD for data pipelines
• Experience with Dagster or equivalent orchestration tools
• Production experience with Kafka or similar streaming technology

Company Overview

Company H1B Sponsorship